As much of my Thesis is dedicated to introducing optimization and machine learning, I have decided to add two new courses “Optimization” and “Machine Learning” in the “Teaching” section.
These courses will have a strong theoretical part but many examples of applications.
Optimization topics (subject to change):
- Recognizing an optimization problem
- Introductory Examples
- first/second order necessary/sufficient conditions
- gradient descent
- evolutionary algorithms
- Advanced example with code
Machine Learning topics (subject to change):
- Recognizing a Machine Learning problem
- Introductory Examples
- Linear classification/regression
- Multilayer neural networks
- Deep neural networks
- Advanced example with code